Necessary Field Size and Probability for MDP and Complete MDP Convolutional Codes

August 09, 2018 Β· Declared Dead Β· πŸ› Designs, Codes and Cryptography

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Authors Julia Lieb arXiv ID 1808.03074 Category cs.IT: Information Theory Citations 9 Venue Designs, Codes and Cryptography Last Checked 4 months ago
Abstract
It has been shown that maximum distance profile (MDP) convolutional codes have optimal recovery rate for windows of a certain length, when transmitting over an erasure channel. In addition, the subclass of complete MDP convolutional codes has the ability to reduce the waiting time during decoding. In this paper, we derive upper bounds on the necessary field size for the existence of MDP and complete MDP convolutional codes and show that these bounds improve the already existing ones. Moreover, we derive lower bounds for the probability that a random code is MDP respective complete MDP.
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